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Added 24 mins ago
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Sr. Full Stack Liferay Developer
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Montreal, QC · Mississauga, ON
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Added 1 hour ago
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Principal People Insights Partner
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Toronto, ON · Montreal, QC · Vancouver, BC · AMER - Canada - Ontario - Toronto - University Ave
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Strong database skills and SQL skills (Oracle, SQL Server)
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Added 1 hour ago
Manager, Fraud Investigations & Controls
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Added 1 hour ago
Machine Learning Engineer Intern
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Familiarity with SQL, cloud services, APIs, or data pipelines
Added 1 hour ago
Senior Integration Architect
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Toronto, ON
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Database & Scripting - SQL and PL/SQL; custom scripting in Ruby, Python, Java, Groovy, or JavaScript; Custom Connectors via Connector SDK and Developer API.

Akkodis

Snowflake Data Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 23, 2026
Posting language: English
Posted: Sep 23, 2026

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Original job description

Primary Responsibilities

Partner closely with leads (development/product owner/stakeholders/ etc.) to ensure a clear understanding of business and technical needs; assisting in selecting the best strategy and translate them into effective data solutions.
Design and implement solutions in Snowflake/Matillion/dbt using industry-leading best practices for life sciences data while ensuring optimal performance, efficient operations, security, and compliance with regulatory standards.
Work closely with the leads to develop and maintain a right size data catalog of and data lineage for commercial and medical affairs applications.
Identify, test prototype solution and proof of concepts. Supporting testing team with identifying the optimal test strategy.
Get reviews on designs to ensure consistency with architectural best practices; participate in regular implementation reviews to ensure consistent quality and adherence with standards.
Work in an agile team to implement data quality checks, setup process orchestrations, mitigate vulnerabilities, devise testing strategies, and automate repeatable tasks along with participating and assisting in root cause analysis activities.
Ensure technical standards and architectural best practices are consistently followed. Govern complete architecture and implementation of the project module.

Qualifications

3-5 years’ of data engineering experience with proven track record in ETL, data modeling, data warehouse design, development, and ingesting data from diverse data sources (databases or APIs) using Matillion and Snowflake technologies.
Understanding of the pharmaceutical domain, with experience in analyzing and working with patient data, call activity data from CRM systems, and marketing data such as web traffic, email campaign metrics, and consent management.
Hands-on experience developing and optimizing within the Snowflake cloud data warehouse environment. Snowpro certification is a plus.
Advanced-level SQL/Matillion/dbt programming skills with ability to perform ELT optimization for performance. Knowledge/experience with cloud technologies (Lambda, S3, AWS policies etc.) and Python programming.
Ability to handle end-to-end Matillion/Snowflake ETL process integrations, customization, and deployment of solutions that serve as the source of truth for reports, dashboards, and data visualizations.
Experience in defining and implementing quality standards for ELT, SQL, Snowflake, and dbt as well as documenting and training other teammates on these standards.
Experience working in agile teams with short release cycles and possess strong verbal, written and team presentation communication skills.
Data-driven mindset with high analytical capability with history of leveraging data and analytical techniques to optimize business decisions.
Experience in data aggregation of channel sales (SP/SD) data, 3PL data etc. is a plus
Experience in working with data from Veeva CRM, Marketing CRM, Salesforce ServiceCloud and HealthCloud is a plus

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More about this job

Responsibilities

Partner with business and technical stakeholders to design, implement, and govern secure, compliant, high-performing data solutions using Snowflake, Matillion, and dbt. Maintain data catalogs and lineage, establish quality and testing practices, automate workflows, support root-cause analysis, and ensure architectural and implementation standards are followed.

Requirements

Requires 3–5 years of data engineering experience, advanced SQL, Matillion, and dbt skills, and hands-on experience building and optimizing Snowflake data warehouse solutions. Candidates should have experience with diverse data sources, pharmaceutical or commercial data, AWS and Python, agile delivery, and end-to-end ETL integrations; SnowPro certification and experience with specified CRM and channel-sales data are advantages.

Skills

Snowflake
Matillion
Dbt
SQL
ETL/ELT
Data Modeling
Data Warehouse Design
Python
AWS
Data Quality
Data Cataloging
Data Lineage
Agile Methodologies
Pharmaceutical Data
Performance Optimization
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Matillion
Dbt
SQL
ETL
ELT
Data Engineering
Data Modeling
Data Warehouse Design
Python
AWS
Lambda
Amazon S3
AWS Policies
SnowPro Certification
Pharmaceutical Data
Patient Data
CRM Data
Veeva CRM
Salesforce Service Cloud
Salesforce Health Cloud
Marketing Data
Consent Management
Data Catalog
Data Lineage
Data Quality
Data Governance
Agile
Data Orchestration
Channel Sales Data

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